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Comment on ‘what to do instead of significance testing? Calculating the “number of counterfactual cases needed to disturb a finding”’ by Stephen Gorard and Jonathan Gorard

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  • Kuha, Jouni
  • Sturgis, Patrick

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  • Kuha, Jouni & Sturgis, Patrick, 2016. "Comment on ‘what to do instead of significance testing? Calculating the “number of counterfactual cases needed to disturb a finding”’ by Stephen Gorard and Jonathan Gorard," LSE Research Online Documents on Economics 66035, London School of Economics and Political Science, LSE Library.
    • Handle: RePEc:ehl:lserod:66035
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    File URL: http://eprints.lse.ac.uk/66035/
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    References listed on IDEAS

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    1. Rosenbaum, Paul R., 2010. "Design Sensitivity and Efficiency in Observational Studies," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 692-702.
    2. Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881.
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    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

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